A learning-based wrapper method to correct systematic errors in automatic image segmentation: Consistently improved performance in hippocampus, cortex and brain segmentation

► A learning-based algorithm that automatically adapts existing segmentation tools to perform optimally in different applications using the training data provided by the user. ► Can be applied to a wide range of image segmentation problems. ► An open source implementation is provided.